Operations Support Analyst

Operations Support Analyst is mainly responsible for:

1. Data Warehouse & Analytics Operations

• Ensure scheduled Extract-Transform-Load jobs, data refreshes, and reporting processes run successfully and on time;
• Execute on-demand data extraction and loading jobs, as needed;
• Monitor daily operations of the data warehouse, data pipelines, and analytics platforms to ensure data availability and performance;
• Track and resolve data load failures, report issues, and system performance anomalies;
• Ensure compliance with SLAs for data refresh, reporting, and analytics delivery; and,
• Support release coordination and deployment of analytics and data warehouse changes. Also provide post-release monitoring and troubleshooting support.

1. Data Quality & Validation

• Perform data quality checks to validate accuracy, completeness, and consistency across data sources;
• Investigate data discrepancies and work with data engineering and analytics teams to implement fixes; and,
• Document data issues, root cause analysis, and preventive measures.

1. Reporting & Analytics Support

• Support BI tools, dashboards, and analytical reports used by business teams;
• Assist users with data access, report usage, and issue resolution; and,
• Validate analytical outputs to ensure alignment with business definitions and metrics

1. Stakeholder Collaboration

• Coordinate with data engineers, analytics teams, IT operations, and business users;
• Communicate data issues, operational status, and resolutions in a clear and timely manner;
• Support change management activities related to enhancements, releases, and platform upgrades;
• Provide application-related support and training to internal and external clients on how to use dashboards and reports;
• Coordinate with teams for infra-related support; and
• Perform other job-related tasks that may be assigned by his superiors from time to time.
• Bachelor’s Degree in Computer Science, Computer Engineering, or any IT related course
• No certifications required.
• Must have at least 2+ years of related experience in support.
• Exposure to ETL/ELT tools (e.g. SSIS, Azure Data Factory, etc.)
• Knowledge in BI tools (Power BI, Tableau, Qlik, etc.)
• Strong SQL skills and experience with relational databases.
• Familiarity with cloud analytics platforms (Azure Synapse, AWS) is a plus (but not required.)
• Knowledge of IT service management processes (ITIL, incident/problem management)